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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control
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. The developed technology will be rooted in causal reasoning, and we envision leveraging causal generative AI methods to develop a rigorous and comprehensive AI testbed. Clinical applications include, but are not
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publications, presenting at conferences, and engaging with stakeholders. There is also the opportunity for a part-funded PhD studentship (Tuition Waiver) as part of this position, subject to final approval
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